Journal ArticleDOI
Validity index for crisp and fuzzy clusters
TLDR
A cluster validity index and its fuzzification is described, which can provide a measure of goodness of clustering on different partitions of a data set, and results demonstrating the superiority of the PBM-index in appropriately determining the number of clusters are provided.About:
This article is published in Pattern Recognition.The article was published on 2004-03-01. It has received 710 citations till now. The article focuses on the topics: Fuzzy clustering & Correlation clustering.read more
Citations
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Journal ArticleDOI
A survey of fuzzy clustering validity evaluation methods
TL;DR: In this paper , the authors reviewed fuzzy clustering validity functions and combined clustering validation evaluation methods, and analyzed the accuracy and stability of each clustering validation evaluation method through comparative experiments.
Journal Article
A New Validity Index for Fuzzy C-Means for Automatic Medical Image Clustering
TL;DR: A new validity index method based on multi-degree entropy algorithm that is able to determine the number of clusters for given application medical images and is evaluated on a discrete image example to prove its efficiency.
Journal ArticleDOI
Rolling Bearing Fault Diagnosis Using a Deep Convolutional Autoencoding Network and Improved Gustafson–Kessel Clustering
TL;DR: A novel method based on a deep convolutional autoencoding network and adaptive nonparametric weighted-feature extraction Gustafson–Kessel clustering algorithm that can effectively diagnose different fault types with only a few labeled samples is developed.
Book ChapterDOI
Consumer Segmentation Through Multi-instance Clustering Time-Series Energy Data from Smart Meters
TL;DR: A model of a consumer as a bag and each bag consists of instances, where each instance will represent a day or a month of consumption and a multi-instance clustering algorithm is applied to solve the consumer clustering problem.
Journal ArticleDOI
A Multi-Objective Approach to Fuzzy Clustering using ITLBO Algorithm
TL;DR: A model with two contradictory objective functions based on maximum data compactness in clusters (the degree of proximity of data) and maximum cluster separation ( the degree of remoteness of clusters’ centers) is proposed and is tested.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book
Applied Multivariate Statistical Analysis
R. A. Johnson,Dean W. Wichern +1 more
TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.
Journal ArticleDOI
Applied Multivariate Statistical Analysis.
TL;DR: In this article, the authors present an overview of the basic concepts of multivariate analysis, including matrix algebra and random vectors, as well as a strategy for analyzing multivariate models.